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Digital Sustainability: A Growing Frontier in Software Development

The Product Coalition

Data centers, a vital component of our digital ecosystem, consume about 2% of global electricity. Alarming projections suggest this could rise to 8% by 2030 and 14% by 2040, a substantial leap from just 1.5% As software builders, we are uniquely positioned to influence this environmental trajectory.

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Road to 2030 – Picturing the Future of Work

Modus Create

In 2015, they predicted that every business will become a digitally-enabled business. A world where unlimited data is as accessible as air. We will see ML processing units inside computers, the widespread use of predictive analytics, and an increased ability of AI to generate pre-decision. ” – Jay Garcia.

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5 Machine Learning Lessons for Product Managers

Mind the Product

According to Crunchbase, in 2018 there were 5,000 startups relying on machine learning for their main and ancillary applications, products, and services. By 2030, it is expected to contribute $15.7 To identify these issues , you would usually need to combine observation and data analysis. If so, ranking could help.

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Sustainability Objectives VS Financial Viability: A Paradox for CleanTech Startups

Bain Public

Product leaders working within CleanTech startups need to deliver sustainable products through a viable monetization strategy to help private and public organizations that need to implement climate change adaptation measures (e.g. There are data limitations and gaps that hinder their understanding. Finding the Solution.

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Wikimedia Foundation COO Janeen Uzzell on future-proofing history

Intercom, Inc.

If everyone in your team looks the same, has the same background, the same experiences, how do you expect to pick up on the biases in your work and create world-class services? Because my commitment has always been access and leveraging technology as a tool for access. Hiring is a process – it’s not enough to wish for diversity.

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14 Data Analytics Trends for 2024: What You Can’t Ignore

Userpilot

In SaaS, the top data analytics trends can either be a revolution or just fluff. So what are the trends in the data analytics landscape that are actually important for product management ?